Pilihan program

Ringkasan program

The Doctor of Philosophy in Electrical Engineering is primarily intended for students with a master’s degree in electrical engineering or a closely related discipline who wish to pursue a career in research or academia. The specializations include communications, digital signal processing/image processing, controls and robotics, electromagnetics, electro-optics, photonics, power electronics and electronics, and solid-state/microelectronics.

Modul program

The modules include EEL 3123C Network and Systems; EEE 3307C Electronics I; EEL 3470 Electromagnetic Fields; EEL 3552 Signal Analysis and Communications; EEE 3350 Semiconductor Devices I; EEL 3657 Linear Control Systems ; EEE 4309C Electronics II; EEL 4750 Digital Signal Processing Fundamentals; EEL 5513 Digital Signal Processing Applications (3 credit hours); EEL 5542 Random Processes I (3 credit hours); EEL 5547 Introduction to Radar Systems (3 credit hours); EEL 5820 Image Processing (3 credit hours); EEL 5825 Pattern Recognition (3 credit hours); EEL 5630 Digital Control Systems (3 credit hours); EEL 5173 Linear Systems Theory (3 credit hours); EEL 6502 Adaptive Digital Signal Processing Applications (3 credit hours); EEL 6504 Communication System Design (3 credit hours); EEL 6530 Communication Theory (3 credit hours); EEL 6558 Advanced Topics in Digital Signal Processing (3 credit hours); EEL 6590 Advanced Topics in Communications (3 credit hours); EEL 5820 Image Processing (3 credit hours); EEL 6823 Image Processing II (3 credit hours); EEL 5825 Pattern Recognition (3 credit hours); EEL 6812 Introduction to Neural Networks (3 credit hours); EEL 5630 Digital Control Systems (3 credit hours); EEL 5173 Linear Systems Theory (3 credit hours); EEL 6619 Nonlinear Robust Control (3 credit hours); EEL 6621 Nonlinear Control Systems (3 credit hours); EEL 6662 Design of Robot Control Systems (3 credit hours); EEL 6667 Planning and Control for Mobile Robotic Systems (3 credit hours); EEL 6671 Modern and Optimal Control Systems (3 credit hours); EEL 6674 Optimal Estimation for Control (3 credit hours); EEL 6617 Fundamentals of Modern Multivariate Control (3 credit hours); EEL 6616 Adaptive Control (3 credit hours); EEL 6680 Advanced Topics in Modern Control Systems (3 credit hours); EEL 6683 Cooperative Control of Networked Autonomous Systems (3 credit hours); EEL 6812 Introduction to Neural Networks (3 credit hours); EEL 6823 Image Processing II (3 credit hours); EEL 5669 Autonomous Robotic Systems (3 credit hours); EEL 6026 Optimization of Engineering Systems (3 credit hours); CAP 5015 Multimedia Compression in the Internet (3 credit hours); CAP 5415 Computer Vision (3 credit hours); CAP 6419 3D Computer Vision (3 credit hours); CAP 6411 Computer Vision Systems (3 credit hours); CAP 6412 Advanced Computer Vision (3 credit hours).

Persyaratan masuk bagi mahasiswa internasional

Students should have a bachelor’s degree from a regionally accredited U.S. institution or its equivalent from a foreign institution and a GPA of 3.0 or more (on a 4.0 maximum) in all work attempted while registered as an undergraduate student or while registered as an upper-division undergraduate student (normally based on the last sixty attempted semester hours); or, a graduate degree or professional degree or equivalent from a regionally accredited U.S. institution or its equivalent from a foreign institution in a field related to the discipline of the program to which the student is applying. International students must demonstrate their proficiency in the English language. International students, except those who are from countries where English is the only official language, those who have earned a degree from a regionally accredited U.S. college or university, or those who have earned a degree from a country where English is the only official language or from a university at which English is the only official language of instruction, should demonstrate a score on the Test of English as a Foreign Language (TOEFL) or IELTS. They should have obtained a TOEFL score of 220 (computer-based) or 80 (internet-based) (or equivalent score on the paper-based test); or an IELTS score of 6.5.

Kualifikasi

Doktor (S3)

Institusi penerbit ijazah

UNIVERSITY OF CENTRAL FLORIDA

Nama jurusan

College of Engineering and Computer Science, Department of Electrical Engineering and Computer Science